• Proceedings of the Korean Society of Marine Engineers Conference
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• 2000.11a
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• pp.115-122
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• 2000

Recently, a study on the Power Line Communication has been done by many companies and institutes due to its own merits that we can use the power line as a communication channel. But, there are serious problems about the harsh and unpredictable characteristics - noise, signal distortion and attenuation to be overcome in order that we commercialize the Power Line Communication. In this paper, we analyse the power line characteristics and apply the technology of PLC to control power of electric machinery by using ASK modulation.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2009.06a
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• pp.480-481
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• 2009

In the paper we study for the ubiquitous networking based on power line communication technology with digital signal transmission. The necessity of research for using resources in the network effectively is being increase as network to use the PLC with smart grid networking. The data rate has compared with implemented modem 250Mbps in the pixel resolution and bandwidth, which has degraded with 80%. We also proposed for design of high-definition digital signal transceiver, which has used in the network between digital multimedia with PLC. Using resources in the network effectively can be also verified with this research.

• Proceedings of the KIEE Conference
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• 2006.10c
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• pp.160-162
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• 2006

In this paper, a heterogeneous home network is designed and implemented based on the PLC (power line communications) and the IEEE 802.15.4. This paper presents the need of the heterogeneous home network and the convergence sub-layer. The convergence sub-layer is designed and implemented on the Xelline power line communication modem with IEEE 802.15.4 communication module.

• Proceedings of the KIEE Conference
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• 2002.07d
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• pp.2559-2561
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• 2002

This paper presents a systematic method of probing channel characteristics and communication reliabilities of home PLC (power line communication) network applied to the Internet accessed control of home appliances. The effects of the three performance deterioating factors, i.e., additive noise, channel attenuation, and intersymbol interference, can be systematically measured by applying the channel probing waveform in the frequency range from 100kHz to 450kHz. The agreement between the derived probability of bit error and the measured probability of bit error supports the validity of the proposed approach of probing home power line channel characteristics. The experimental results performed with the constructed test-bed applying the proposed channel probing method also support the feasibility of commercially deploying the PLC modem installed home appliances and their services for the Internet accessed home automation.

• 한국정보통신설비학회:학술대회논문집
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• 2008.08a
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• pp.319-322
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• 2008

사용자의 각 개인별 관심 및 환경에 따라 적절한 정보를 다양한 입출력 방식으로 제공하고, 가정내의 모든 장소에서 네트워크 접속이 가능한 사용자 중심의 지능형 홈 네트워크 환경의 새로운 요구가 대두 되고 있다. 또한 집안의 온도, 가스, 화재, 도어, 적외선 센서들로부터 수집된 정보를 요약, 분석, 처리 가공하여 문자 및 그래픽 등으로 보고 받는 사용자 중심의 서비스 제공이 요구 된다. 이에 본 논문은 전력선 통신 (Power Line Communication, PLC)을 이용한 흠 네트워크 시스템을 구축하여 가정내의 온도, 화재, 침입방지 등의 보안 문제뿐만 아니라 정보가전기기들이 네트워크로 상호 연결되어 기기, 시간, 장소에 구애 받지 않는 다양한 서비스의 제공이 가능하며, 중앙의 홈 서버를 통해 집안 전체의 관리가 가능한 안전하고 스마트한 자동화 서비스를 제공하는 환경을 구축한다.

• Journal of Advanced Information Technology and Convergence
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• v.9 no.2
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• pp.1-14
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• 2019

This paper considers a multiple-input multiple-output (MIMO) power line communication (PLC) network where interference alignment (IA) technique is used to mitigate the interference that arises in multi-user networks. IA as a precoding technique requires perfect channel state information (CSI) to achieve maximum multiplexing gain. Due to the common-mode reception at the receiver ports, we assume imperfect CSI for the IA precoding design. Here, the CSI is quantized and sent via feedback to the transmit ports. For different levels of CSI quantization, we evaluate the performance of various IA algorithms via Monte Carlo simulations. Simulation results reveal the superior performance of the proposed scheme due to common-mode reception in IA MIMO PLC networks. It is shown that for a quantization level of 5 bits, the CM reception improves the sum-rate by up to 70%.

• Journal of the Korea Society of Computer and Information
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• v.14 no.12
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• pp.25-32
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• 2009

This paper proposes the construction of intelligent home network system using Power Line Communication(PLC) technique, which allows for UPnP bridge remote control and monitoring based on TCP/IP. Also, the communication for control module inside intelligent home network systems is designed with Simple Control Protocol (SCP) in which each device is connected to be controlled independently. When new UPnP device is additionally installed in intelligent home network systems, it is monitored through UPnP bridges based on its registered UPnP device information. The device control based on PLC and implementation of each UPnP device are effectively managed by using TCP/IP remote control and it's provided fundamental functions to monitor various device information in the home network.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.2
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• pp.41-45
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• 2019

In this paper, we propose the interference cancellation scheme of end-to-end method algorithm for power line communication (PLC) systems in smart grid. The proposed scheme estimates the channel noise information of receiver by applying a deep learning model at the receiver. Then, the estimated channel noise is updated in database. In the modulator, the channel noise which reduces the power line communication performance is effectively removed through interference cancellation technique. As an impulsive noise model, Middleton Class A interference model was employed. The performance is evaluated in terms of bit error rate (BER). From the simulation results, it is confirmed that the proposed scheme has better BER performance compared to the theoretical model based on additive white Gaussian noise. As a result, the proposed interference cancellation with deep learning improves the signal quality of PLC systems by effectively removing the channel noise. The results of the paper can be applied to PLC for smart grid and general communication systems.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.4
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• pp.29-33
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• 2022

In this paper, we propose the deep learning based pre interference cancellation scheme algorithm for power line communication (PLC) systems in smart grid. The proposed scheme estimates the channel noise information by applying a deep learning model at the transmitter. Then, the estimated channel noise is updated in database. In the modulator, the channel noise which reduces the power line communication performance is effectively removed through interference cancellation technique. As an impulsive noise model, Middleton Class A interference model was employed. The performance is evaluated in terms of bit error rate (BER). From the simulation results, it is confirmed that the proposed scheme has better BER performance compared to the theoretical model based on additive white Gaussian noise. As a result, the proposed interference cancellation with deep learning improves the signal quality of PLC systems by effectively removing the channel noise. The results of the paper can be applied to PLC for smart grid and general communication systems.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.9A
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• pp.983-990
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• 2004

In this paper, we calculated the input impedance of the power line communication(PLC) networks using medium voltage power line. First of all, we proposed input and output teoninal model of PLC network, and calculated the input impedance applying the attenuation constants by radiation loss, conductor loss, dielectric loss. From the calculation result, we knew that the attenuation by radiation loss was largest, and the input impedance appears like a standing wave fonn with a fixed cycle because the high reflection at the input terminal for the characteristic impedance of the power line is very large. And also the cycle of input impedance depends on the coaxial cable length, and the amplitude depends on the characteristic impedance of power line and losses. From the measurement result, calculated result was very similar to the measured result.